Evidence map›Paper›PMID 31298998›Full record

ArticleCancer treatment and research communications2018

Bone turnover biomarkers identify unique prognostic risk groups in men with castration resistant prostate cancer and skeletal metastases: Results from SWOG S0421.

P N Lara, M Plets, C Tangen, E Gertz, N J Vogelzang, M Hussain, P W Twardowski, M G Garzotto, J P Monk, M Carducci and 5 more

Abstract read
In one paragraph

Article in Cancer treatment and research communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 11 institutions in 1 country.

P N LaraUniversity of California Davis Comprehensive Cancer Center, Sacramento, CA, United States. Electronic address: pnlara@ucdavis.edu.
M PletsSWOG Statistical Center, Seattle, WA, United States.
C TangenSWOG Statistical Center, Seattle, WA, United States.
E GertzUS Department of Agriculture, Western Human Nutrition Research Center, University of California Davis, Davis, CA, United States.
N J VogelzangUS Oncology, Las Vegas, NV, United States.
M HussainNorthwestern University, Chicago, IL, United States.
P W TwardowskiCity of Hope National Medical Center, Duarte, CA, United States.
M G GarzottoOregon Health & Science University, Portland, OR, United States.
J P MonkOhio State University, Columbus, OH, United States.
M CarducciJohns Hopkins University, Baltimore, MD, United States.
A GoldkornUSC Norris Comprehensive Cancer Center, Los Angeles, CA, United States.
P C MackUniversity of California Davis Comprehensive Cancer Center, Sacramento, CA, United States.
I ThompsonCancer Therapy and Research Center, UTHSC, San Antonio, TX, United States.
M Van LoanUS Department of Agriculture, Western Human Nutrition Research Center, University of California Davis, Davis, CA, United States.
D I QuinnUSC Norris Comprehensive Cancer Center, Los Angeles, CA, United States.
Cancer Research And Biostatistics · USUSC Norris Comprehensive Cancer Center · USWestern Human Nutrition Research Center · USCity Of Hope National Medical Center · USJohns Hopkins University · USNorthwestern University · USOregon Health & Science University · USThe Ohio State University · USUC Davis Comprehensive Cancer CenterUniversity of California, Davis · USUniversity of Tennessee Health Science Center · US

Funding

SWOG Network Group Operations Center of the NCTNU10CA180888 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI PRIMO N. LARA · 2014 to 2026
$152.1M
SWOG Statistics & Data Management Center complex - extension supplement for GY06U10CA180819 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Michael L. LeBlanc · 2014 to 2026
$115.2M
Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Gina M Dayton · 2002 to 2026
$84.9M
UCDCCC NCTN U10 ProgramU10CA180846 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI GANDARA, DAVID R, VALICENTI, RICHARD · 2014 to 2018
$3.3M
NCI NCTN- Network Lead Academic Participating Site: USCU10CA180830 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI EL-KHOUEIRY, ANTHONY BOUTROS, LENZ, HEINZ JOSEF · 2014 to 2018
$3.0M
Biochemical markers of bone turnover in metastatic prostate cancerR01CA120469 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LARA, PRIMO N. · 2006 to 2010
$1.0M
NCI NIH HHS P30 CA093373NCI NIH HHS R01 CA120469NCI NIH HHS U10 CA180819NCI NIH HHS U10 CA180830NCI NIH HHS U10 CA180846NCI NIH HHS U10 CA180888
6 · The paper itself

Abstract

backgroundSkeletal metastases often occur in men with castration-resistant prostate cancer (CRPC) where bone biomarkers are prognostic for overall survival (OS). In those with highly elevated markers, there is preferential benefit from bone-targeted therapy. In the phase IIIS0421 docetaxel +/- atrasentan trial, clinical covariates and bone biomarkers were analyzed to identify CRPC subsets with differential outcomes. SUBJECTS AND

methodsMarkers of bone resorption [N-telopeptide-NTx; pyridinoline-PYD] and formation [C-terminal collagen propeptide-CICP; bone alkaline phosphatase-BAP] were measured in pre-treatment sera. Bone biomarkers and clinical covariates were included in a Cox model for OS; bone markers were added in a stepwise selection process. Receiver operating characteristic (ROC) curves were constructed for risk factor models +/- bone markers. Significant variables were allowed to compete in a classification and regression tree (CART) analysis. Hazard ratios(HR) were calculated by comparing OS in each of the terminal nodes to a reference group in a Cox model.

results750 patients were included. Each bone marker significantly contributed to the risk factor-adjusted OS Cox model, with higher levels associated with worse OS. BAP (HR = 1.15, p = 0.008), CICP (HR = 1.27, p < 0.001), and PYD (HR = 1.21, p = 0.047) in combination were significantly associated with OS. Prognostic accuracy was improved by addition of bone markers to clinical covariates. CART analysis selected CICP, BAP, hemoglobin, and pain score for the final OS model, identifying five prognostic groups.

conclusionsElevated serum bone biomarker levels are associated with worse OS in bone-metastatic CRPC. Bone biomarkers can identify unique prognostic subgroups. These results further define the role of bone biomarkers in the design of CRPC trials.

Indexed as

BiomarkerBone metabolismBone metastasesBone turnoverPrognostic markerProstate cancer

Identifiers

PMID31298998
PMCPMC6628720
OpenAlexW2802961857

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.